Job Purpose Statement
Enterprise Data Management (“EDM”) is a process that seeks to ensure Data in NCBA Group PLCis accurate and consistent to meet the strategic and business goals. “EDM” has eight keycapabilities
Data Architecture (DA);
Data retention & archiving (DRA);
Data quality management (DQM);
Metadata management (“MM”);
Master data Management (MDM);
Data privacy & security (DPS) vii) Business Intelligence and Analytics (BIA) and
Data governance.
This role will drive management of the Master Data strategy that brings together the fundamental business data building blocks that are shared across multiple business transactions, e.g. T-24 captures and generates data becomes a I MDM asset’, that is used in other systems such as customer management system (CRM), SAP -Bl regulatory reporting. This role owns and delivers on the Master Data & Data Quality Management strategy and reports into the Chief Data Officer, CDO.
The Data Quality Lead is a senior management role tasked with providing leadership and overseeing the following administrative and operational functions within the data management office and group:
Master Data Management: this function is responsible for Master data management (MDM), a process and technology-enabled discipline in which business and IT work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise’s official shared master data assets.
Data Quality Management: is the capability to appropriately design data quality requirements across the business data domains, diagnose data quality issues, correct them and monitor the solution effectiveness.
At its core, the role involves supporting the CDO and other team leaders in implementing the Enterprise Data Management Framework in regards to Master Data & Data Quality Strategies, drive strategic performance in order to achieve strategic results that is, Data is seen as a Strategic Asset at NCBA Group PLC and creates sustainable stakeholder value.
Ideal Job Specifications
Academic:
Bachelors in Computer Science, Finance & Banking MIS, or Information Management, operations management
Masters or diploma in data management/data science, will be an added advantage
Professional:
Hands on experience in Database Development and scripting, with expert level skills in writing SQL queries.
Hands on experience in developing ETL packages using Oracle DI, SQL Server Integration Services, SAP Data Services
Deep understanding of industry standard formats and protocols (XML/XPath/XQuery and JSON)
Excellent analytical, problem solving and reporting skills
A good knowledge of the information requirements and standard reporting within Financial Services industry
Desired work experience:
Minimum 8 years’ experience in IT systems development within a large, digitized organization designing, implementing and managing mission critical systems, with at least 5 of those years within BI development and/or support.
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